An optimal coalition formation algorithm for electronic group buying

被引：0

作者：

Hyodo, M ^{[1
]}

Matsuo, T ^{[1
]}

Ito, T ^{[1
]}

机构：

[1] Japan Adv Inst Sci & Technol, Sch Knowledge Sci, Nomi, Ishikawa 9231292, Japan

来源：

SICE 2003 ANNUAL CONFERENCE, VOLS 1-3 | 2003年

关键词：

genetic algorithm; group buying; electronic commerce;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Group buying is a form of electronic commerce that is growing quickly. Group buying is a commercial transaction in which a buyer can purchase goods at a low price if many buyers participate in group buying. But buyers are often distributed among these group-buying sites non-optimally. If we can optimally allocate buyers to several group buying sites, all buyers can buy a good at a lower price. The aim of this paper is to solve this optimal allocation problem by a Genetic Algorithm.

引用

页码：3402 / 3407

页数：6

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